编写代码基于HVEC环路滤波实现去块效应
时间: 2023-12-17 17:03:53 浏览: 38
HVEC(High Efficiency Video Coding)是一种视频编码标准,其环路滤波是用于解决视频编码过程中产生的块效应问题的一种技术。下面是基于HVEC环路滤波的去块效应实现的代码示例:
```python
import numpy as np
# 定义环路滤波器系数
ALPHA = 3
BETA = 1
# 定义块大小
BLOCK_SIZE = 8
def deblock_filter(image):
"""
对输入图像进行去块效应处理
"""
# 获取图像大小
height, width = image.shape
# 计算图像中块的数量
block_count_h = height // BLOCK_SIZE
block_count_w = width // BLOCK_SIZE
# 对每个块进行处理
for i in range(block_count_h):
for j in range(block_count_w):
# 获取当前块的左上角位置
x = j * BLOCK_SIZE
y = i * BLOCK_SIZE
# 计算当前块的边界
left = max(x - ALPHA, 0)
right = min(x + BLOCK_SIZE + ALPHA, width)
top = max(y - BETA, 0)
bottom = min(y + BLOCK_SIZE + BETA, height)
# 获取当前块及其周围像素
block = image[y:y+BLOCK_SIZE, x:x+BLOCK_SIZE]
left_pixels = image[top:bottom, left:x]
right_pixels = image[top:bottom, x+BLOCK_SIZE:right]
top_pixels = image[top:y, left:right]
bottom_pixels = image[y+BLOCK_SIZE:bottom, left:right]
# 计算当前块的边界像素的均值
left_mean = np.mean(left_pixels)
right_mean = np.mean(right_pixels)
top_mean = np.mean(top_pixels)
bottom_mean = np.mean(bottom_pixels)
# 对当前块进行滤波处理
for m in range(BLOCK_SIZE):
for n in range(BLOCK_SIZE):
if n < ALPHA:
# 处理左边界像素
block[m, n] = (ALPHA - n) / ALPHA * left_mean + n / ALPHA * block[m, n]
elif n >= BLOCK_SIZE - ALPHA:
# 处理右边界像素
block[m, n] = (BLOCK_SIZE - n - 1 + ALPHA) / ALPHA * right_mean + (n - BLOCK_SIZE + 1) / ALPHA * block[m, n]
if m < BETA:
# 处理上边界像素
block[m, n] = (BETA - m) / BETA * top_mean + m / BETA * block[m, n]
elif m >= BLOCK_SIZE - BETA:
# 处理下边界像素
block[m, n] = (BLOCK_SIZE - m - 1 + BETA) / BETA * bottom_mean + (m - BLOCK_SIZE + 1) / BETA * block[m, n]
# 将处理后的块写回原图像
image[y:y+BLOCK_SIZE, x:x+BLOCK_SIZE] = block
return image
```
该函数接受一个二维数组作为输入,表示待处理的灰度图像。函数通过遍历图像中的块,计算每个块的边界像素的均值,并对当前块进行滤波处理,最后返回处理后的图像。